Polyhedral object recognition using Hough-space features

11Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

Abstract

We propose a new technique for three-dimensional (3-D) polyhedral object recognition on the basis of a single two-dimensional (2-D) view of a 3-D scene. The binary gradient image of the captured scene is converted into the Hough-space domain. The cluster patterns originating from straight-line features of the image are explored by reasoning in Hough space. This yields an attributed graph representation of the object to be recognized which is compared to similar representations of CAD-designed wire frame model objects by means of a new attributed subgraph isomorphism algorithm. Simulation experiments illustrate this promising new approach. © 1988.

Cite

CITATION STYLE

APA

Engelbrecht, J. R., & Wahl, F. M. (1988). Polyhedral object recognition using Hough-space features. Pattern Recognition, 21(2), 155–167. https://doi.org/10.1016/0031-3203(88)90023-4

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free